| Poi: Multiple object tracking with high performance detection and appearance feature F Yu, W Li, Q Li, Y Liu, X Shi, J Yan Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 488 | 2016 |
| Differentiable soft quantization: Bridging full-precision and low-bit neural networks R Gong, X Liu, S Jiang, T Li, P Hu, J Lin, F Yu, J Yan Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 373 | 2019 |
| Incorporating convolution designs into visual transformers K Yuan, S Guo, Z Liu, A Zhou, F Yu, W Wu Proceedings of the IEEE/CVF International Conference on Computer Vision, 579-588, 2021 | 348 | 2021 |
| Forward and backward information retention for accurate binary neural networks H Qin, R Gong, X Liu, M Shen, Z Wei, F Yu, J Song Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 259 | 2020 |
| Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm Y Li, F Liang, L Zhao, Y Cui, W Ouyang, J Shao, F Yu, J Yan arXiv preprint arXiv:2110.05208, 2021 | 214 | 2021 |
| Brecq: Pushing the limit of post-training quantization by block reconstruction Y Li, R Gong, X Tan, Y Yang, P Hu, Q Zhang, F Yu, W Wang, S Gu arXiv preprint arXiv:2102.05426, 2021 | 183 | 2021 |
| Towards unified int8 training for convolutional neural network F Zhu, R Gong, F Yu, X Liu, Y Wang, Z Li, X Yang, J Yan Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 126 | 2020 |
| Diversifying sample generation for accurate data-free quantization X Zhang, H Qin, Y Ding, R Gong, Q Yan, R Tao, Y Li, F Yu, X Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 68 | 2021 |
| Robustart: Benchmarking robustness on architecture design and training techniques S Tang, R Gong, Y Wang, A Liu, J Wang, X Chen, F Yu, X Liu, D Song, ... arXiv preprint arXiv:2109.05211, 2021 | 67 | 2021 |
| Equalized focal loss for dense long-tailed object detection B Li, Y Yao, J Tan, G Zhang, F Yu, J Lu, Y Luo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 53 | 2022 |
| Qdrop: Randomly dropping quantization for extremely low-bit post-training quantization X Wei, R Gong, Y Li, X Liu, F Yu arXiv preprint arXiv:2203.05740, 2022 | 37 | 2022 |
| Mqbench: Towards reproducible and deployable model quantization benchmark Y Li, M Shen, J Ma, Y Ren, M Zhao, Q Zhang, R Gong, F Yu, J Yan arXiv preprint arXiv:2111.03759, 2021 | 29 | 2021 |
| Mixmix: All you need for data-free compression are feature and data mixing Y Li, F Zhu, R Gong, M Shen, X Dong, F Yu, S Lu, S Gu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 26* | 2021 |
| Intern: A new learning paradigm towards general vision J Shao, S Chen, Y Li, K Wang, Z Yin, Y He, J Teng, Q Sun, M Gao, J Liu, ... arXiv preprint arXiv:2111.08687, 2021 | 20 | 2021 |
| Outlier suppression: Pushing the limit of low-bit transformer language models X Wei, Y Zhang, X Zhang, R Gong, S Zhang, Q Zhang, F Yu, X Liu Advances in Neural Information Processing Systems 35, 17402-17414, 2022 | 18 | 2022 |
| Once quantization-aware training: High performance extremely low-bit architecture search M Shen, F Liang, R Gong, Y Li, C Li, C Lin, F Yu, J Yan, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 18 | 2021 |
| Extremely low-bit convolution optimization for quantized neural network on modern computer architectures Q Han, Y Hu, F Yu, H Yang, B Liu, P Hu, R Gong, Y Wang, R Wang, ... Proceedings of the 49th International Conference on Parallel Processing, 1-12, 2020 | 18 | 2020 |
| Efficient bitwidth search for practical mixed precision neural network Y Li, W Wang, H Bai, R Gong, X Dong, F Yu arXiv preprint arXiv:2003.07577, 2020 | 15 | 2020 |
| Dms: Differentiable dimension search for binary neural networks Y Li, R Gong, F Yu, X Dong, X Liu ICLR 2020 NAS workshop, 2020 | 6 | 2020 |
| Mimose: An input-aware checkpointing planner for efficient training on gpu J Liao, M Li, Q Sun, J Hao, F Yu, S Chen, Y Tao, Z Zhang, H Yang, Z Luan, ... arXiv preprint arXiv:2209.02478, 2022 | 3 | 2022 |
Ruihao Gong (龚睿昊)Beihang University, SenseTime在 sensetime.com 的电子邮件经过验证
